Estimation of Runoff in the Manas River Catchment using SCS-CN Method

Runoff estimation is crucial for effective water resource management and land use planning in river catchments. In this study, we applied the Soil Conservation Service Curve Number (SCS-CN) method to estimate runoff in the Manas River catchment and nearby areas. Utilizing precipitation, land cover, soil type and topographic data, we parameterized the SCS-CN model to predict runoff for various rainfall events. The findings provide valuable insights into hydrological processes in the region, aiding informed decision-making for water resource management and land use planning.

Authors

Publication Details

Journal
Ecology Environment and Conservation
Published
2025-09-30
DOI
https://doi.org/10.53550/eec.2025.v31i03.049
Primary Topic
Hydrological Forecasting Using AI
Type
article
Field-Weighted Citation Impact
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article

Estimation of Runoff in the Manas River Catchment using SCS-CN Method

Parbin Nahar Begum, Eahya Al Huda
Ecology Environment and Conservation
Hydrological Forecasting Using AI
article

Estimation of Runoff in the Manas River Catchment using SCS-CN Method

Parbin Nahar Begum, Eahya Al Huda
article en

Abstract

Runoff estimation is crucial for effective water resource management and land use planning in river catchments. In this study, we applied the Soil Conservation Service Curve Number (SCS-CN) method to estimate runoff in the Manas River catchment and nearby areas. Utilizing precipitation, land cover, soil type and topographic data, we parameterized the SCS-CN model to predict runoff for various rainfall events. The findings provide valuable insights into hydrological processes in the region, aiding informed decision-making for water resource management and land use planning.

Ecology Environment and ConservationVol. 31(03)
Openalex Percentile: Top 75%
Hydrological Forecasting Using AI
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Estimation of Runoff in the Manas River Catchment using SCS-CN Method — Parbin Nahar Begum, Eahya Al Huda · Ecology Environment and Conservation (2025) | TGRS Research Map | TGRS